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Record W7038730893

Investigaciones arqueológicas en Mentesa Oretana (Villanueva de la Fuente, Ciudad Real) 2003-2009. Muralla ibérica, área urbana y necrópolis tardoantigua e islámica

2011· article· es· W7038730893 on OpenAlexaboutno aff

Bibliographic record

VenueLibrary Open Repository (Universidad Complutense Madrid) · 2011
Typearticle
Languagees
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUrban planningUrban spaceContext (archaeology)Metropolitan areaQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Mentesa Oretana (Villanueva de la Fuente, Ciudad Real) fue una ciudad relevante e histórica localizada junto a la Vía de los Vasos de Vicarello, sobre la cual se han venido desarrollando y publicando estudios arqueológicos a partir de 1996. En esta localidad se encuentran elementos arqueológicos correspondientes a un poblamiento continuado desde la Edad del Bronce hasta la actualidad. \nEl objetivo de este trabajo es presentar los resultados inéditos de las excavaciones arqueológicas sistemáticas que desde 2003 se han desarrollado en el paraje denominado “Los Toriles”. Entre los hallazgos más significativos están su muralla ibérica, un área urbana y dos de sus necrópolis, fechadas mediante radiocarbono entre las épocas tardoantigua e islámica. \nLa información expuesta contribuye al avance del conocimiento sobre los hábitos urbanos y funerarios en las ciudades históricas de la Meseta Sur.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.228
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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